Match

Monza vs Imolese: result 1-1 and analysis

Serie C - Girone BGirone B - 13Kick-off on November 25, 2018 at 05:30 PM (UTC)U-Power Stadium, Monza

Monza
1-1
Imolese

Full time

What was the result of Monza vs Imolese?

Monza and Imolese drew 1-1 on November 25, 2018.

Goalscorers

  • 43′ReginaldoMonza
  • 46′S. RossettiImolese

Official lineup for Monza vs Imolese

The starting elevens fielded at kick-off.

Monza

  1. 10A. D'Errico
  2. 11Reginaldo
  3. 30T. Ceccarelli
  1. 4G. Galli
  2. 8L. Guidetti
  3. 19D. Caverzasi
  4. 32S. Iocolano
  1. 5Ruggero Riva
  2. 7M. Origlio
  3. 23S. Negro
  1. 33E. Guarna

Imolese

  1. 17E. Lanini
  2. 27S. Rossetti
  1. 8M. Valentini
  2. 21F. Carraro
  3. 24S. Hraiech
  4. 26Filippo Carini
  5. 29N. Mosti
  1. 18A. Garattoni
  2. 19Filippo Boccardi
  3. 25C. Fiore
  1. 22G. Rossi
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Monza have 6 wins, 3 draws and 6 defeats; Imolese have 5, 6 and 4.

The competition is shown for every match: in pre-season, several of these games are friendlies.

Monza
DateOpponentScoreCompetition
Nov 18, 2018Pordenone(home)0-2Serie C - Girone B
Nov 11, 2018Vis Pesaro(away)1-1Serie C - Girone B
Nov 4, 2018Ternana(home)1-4Serie C - Girone B
Oct 28, 2018AJ Fano(away)2-0Serie C - Girone B
Oct 21, 2018Teramo(home)0-1Serie C - Girone B
Imolese
DateOpponentScoreCompetition
Nov 18, 2018Ternana(home)0-0Serie C - Girone B
Nov 11, 2018Renate(away)0-1Serie C - Girone B
Nov 4, 2018Vicenza Virtus(home)2-1Serie C - Girone B
Oct 28, 2018Vis Pesaro(away)1-1Serie C - Girone B
Oct 21, 2018Rimini(home)3-1Serie C - Girone B

How many goals should we expect?

Monza score 0.9 and concede 1.0 goals per match over their last 15; Imolese score 1.1 and concede 1.1.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Monza0.91.064/153/15
Imolese1.11.1410/156/15

Over the last 15 matches in all competitions.

A question about Monza vs Imolese?

Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.

Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.

How does Footlab AI compute this prediction?

The model combines both teams' Elo ratings (anchored by competition pool), their recent form weighted by opponent strength, home advantage and a Poisson matrix for scorelines. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy

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